• KELLEY

  • Referenced in 643 articles [sw04829]
  • optimization algorithms. Chapter 7 introduces implicit filtering, a technique due to the author ... group. Implicit filtering methods use finite difference approximations of the gradient, which are adjusted...
  • IRAM

  • Referenced in 205 articles [sw08795]
  • Implicit application of polynomial filters in a k-step Arnoldi method. The author describes ... implicitly shifted QR-iteration, the author applies a polynomial filter to the Arnoldi (Lanczos) vector...
  • IMFIL

  • Referenced in 45 articles [sw04814]
  • Implicit filtering is a way to solve bound-constrained optimization problems for which derivative information ... function and its higher derivatives, implicit filtering builds upon coordinate search and then interpolates ... approximation of the gradient. Implicit Filtering describes the algorithm, its convergence theory...
  • eigs

  • Referenced in 325 articles [sw03702]
  • implicitly shifted QR-iteration, the author applies a polynomial filter to the Arnoldi (Lanczos) vector...
  • RICPAC

  • Referenced in 65 articles [sw15253]
  • from control and filtering problems for systems in generalized (or implicit or descriptor) state space...
  • MOIF

  • Referenced in 8 articles [sw36989]
  • Derivative-Free Library - MOIF: An implicit filtering algorithm for derivative-free multiobjective optimization with ... trivial extension of the well-known implicit filtering algorithm to the multiobjective case. Global convergence ... problems show the efficiency of the implicit filtering algorithm when used to find a single...
  • Implicit

  • Referenced in 1 article [sw37578]
  • Implicit: Fast Python Collaborative Filtering for Implicit Datasets. This project provides fast Python implementations ... described in the papers Collaborative Filtering for Implicit Feedback Datasets and Applications of the Conjugate ... Gradient Method for Implicit Feedback Collaborative Filtering. Bayesian Personalized Ranking. Logistic Matrix Factorization. Item-Item ... Faiss can also be used by Implicit to speed up making recommendations...
  • GeoMF

  • Referenced in 2 articles [sw25054]
  • location-based social networks (LBSNs) as implicit feedback for POI recommendation, we first propose ... task since it usually serves collaborative filtering with implicit feedback better. Besides, researchers have recently...
  • RotDCF

  • Referenced in 2 articles [sw42318]
  • rotation-equivariant CNN with decomposed convolutional filters (RotDCF). This decomposition facilitates computing the joint convolution ... bases expansion serves implicitly to regularize the filters. On datasets involving in-plane...
  • CGALmesh

  • Referenced in 12 articles [sw12915]
  • inputs ranging from 3D images to implicit functions through surface meshes (see gallery below, recent ... library. It combines Delaunay refinement and Delaunay filtering through the notion of restricted Delaunay triangulation...
  • TagiCoFi

  • Referenced in 2 articles [sw12929]
  • TagiCoFi: tag informed collaborative filtering. Besides the rating information, an increasing number of modern recommender ... users’ interests in items can be implicitly reflected by the tags that they often ... performance, few recommender systems based on collaborative filtering (CF) have employed tagging information to help...
  • CARES

  • Referenced in 2 articles [sw33322]
  • makes recommendations using a ranking-oriented collaborative filtering approach based on users’ access logs, avoiding ... correlation coefficients for computing similarities among users’ implicit preference models and a random walk based...
  • SHALL 4

  • Referenced in 3 articles [sw00007]
  • SHALL4 - an implicit compact fourth-order Fortran program for solving the shallow-water equations ... obtained. A Schumann-Wallington low-pass filtering procedure was incorporated in the program to overcome...
  • Energy_Spectrum

  • Referenced in 1 article [sw34458]
  • Reynolds number of 5000 and compared to filtered direct numerical simulation data. These numerical experiments ... coarse grids, when compared to the baseline implicit large-eddy simulation...
  • matLeap

  • Referenced in 1 article [sw16549]
  • compatible implementation of the adap- tive explicit-implicit { au}-leaping algorithm to address the above ... especially useful for researchers utilizing particle- filter based methods for Bayesian inference. Code is available...
  • ADOL-C

  • Referenced in 257 articles [sw00019]
  • ADOL-C: Automatic Differentiation of C/C++. We present...
  • ANSYS

  • Referenced in 713 articles [sw00044]
  • ANSYS offers a comprehensive software suite that spans...
  • BARON

  • Referenced in 361 articles [sw00066]
  • BARON is a computational system for solving nonconvex...
  • BoomerAMG

  • Referenced in 200 articles [sw00086]
  • BoomerAMG: A parallel algebraic multigrid solver and preconditioner...
  • CoCoA

  • Referenced in 659 articles [sw00143]
  • CoCoA is a system for Computations in Commutative...